False Misbehavior Elimination of Packet Dropping Attackers during Military Surveillance using WSN

Authors

  • A.B. Karuppiah Velammal College of Engg & Tech, Madurai, India
  • S. Rajaram Thiagarajar College of Engineering, Madurai, India

Keywords:

Energy efficient mechanism, Military surveillance, Network life time, Sinkhole, Watchdog, Wireless Sensor Networks

Abstract

A Wireless Sensor Network (WSN) consists of many sensor nodes with low cost and power capability. The nature of WSN makes it easily prone to security attacks and paves way for attackers to easily eavesdrop the network. One of the deadliest attacks is the packet dropping attack by the intruder where the destruction caused to the network becomes inexplicable. It causes the intruder to lure all the packets and drop which will ultimately disrupt the military functionalities. It becomes essential to detect the attacker in split second before rendering heavy damage to the data and the network. Nodes in a WSN are usually highly energy-constrained and expected to operate for long periods from limited on-board energy reserves and there is a high need for energy-efficient operations. In this paper, a novel algorithm is developed to improve the existing Watchdog monitoring system to detect the false misbehaving node and to eliminate it in short time during surveillance. The existing Watchdog mechanism consumes more energy to compute the Sinkhole node in the network and its trustworthiness also becomes debatable. The simulation results show that exact elimination of the malicious node is done. Moreover, a greater percentage reduction in energy consumption is achieved by the proposed method that makes it more viable for military applications to detect the attacker.

References

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Published

20-05-2014

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Research Paper

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How to Cite

Karuppiah, A., & Rajaram, S. (2014). False Misbehavior Elimination of Packet Dropping Attackers during Military Surveillance using WSN. Advances in Military Technology, 9(1), 19-30. https://aimt.cz/index.php/aimt/article/view/1012

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